{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "da9c2d1e-df03-4514-a1b6-74ee61192c53",
   "metadata": {},
   "source": [
    "# Grid-Responsive Control of Indoor Air Temperature in Buildings With Differentiable Predictive Control\n",
    "\n",
    "This notebook demonstrates how to use Differentiable Predictive Control (DPC) to control indoor air temperature in a single-zone building in response to grid signals.\n",
    "\n",
    "---\n",
    "## Motivation\n",
    "Buildings today contribute to roughly 40 % of global energy use (approximately 64 PWh), of which a large portion is used for [heating, cooling, ventilation, and air-conditioning (HVAC)](https://en.wikipedia.org/wiki/Heating,_ventilation,_and_air_conditioning). Advanced grid-responsive control can help reduce peak demand and energy cost, mitigate greenhouse gas emissions, and support renewable integration. However, most commercial building automation systems still rely on simple rule-based strategies.  \n",
    "\n",
    "Below is a simplified representation of a building control scheme responding to real-time price signals or demand response events:  \n",
    "<img src=\"./figs/building_control.PNG\" width=\"500\">\n",
    "\n",
    "---\n",
    "## Grid Response\n",
    "\n",
    "[Grid Responsive Building Control](https://www.sciencedirect.com/science/article/pii/S0360544220327055?casa_token=QfpJZGrcwBEAAAAA:VwwPqJrRcl8wE14TyLvH62YJhaVYI8qVNAWzossdgmRxpEg9qm876iiWibkQKrjihKZBb17-ZA#fig4) is a broad collection of strategies, technologies, and methods that allow buildings to modulate their energy usage in response to signals from the grid. While many varieties of grid signals exist, the most common are variable pricing schemes, where utility providers create a rate schedule designed to incentivize energy load shifting [2]. Without onsite energy storage, one of the simplest methods for grid response is load shifting, demonstrated in the figure below. \n",
    "\n",
    "<img src=\"./figs/load_shifting.png\" width=\"500\">\n",
    "\n",
    "##### In this notebook we demonstrate how Neuromancer and [Differentiable Predictive Control](https://www.sciencedirect.com/science/article/pii/S0959152422000981) (DPC) [[1]](https://www.sciencedirect.com/science/article/pii/S0959152422000981) can be used to train a controller to learn load shifting autonomously for a simple HVAC system. \n",
    "  \n",
    "---\n",
    "\n",
    "## References\n",
    "[1] Drgoňa, Ján, et al. \"Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems.\" Journal of Process Control 116 (2022)\n",
    "\n",
    "[2] Cappers, Peter, Charles Goldman, and David Kathan. \"Demand response in US electricity markets: Empirical evidence.\" Energy 35.4 (2010)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0eb88141-a724-4cb0-984a-83c1ca80ecdc",
   "metadata": {},
   "source": [
    "## For Colab only:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "25bd592e-dbce-45eb-b570-ad62e6ebc3f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install neuromancer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d934b8b-eb52-4638-86b2-2190e8ebfe18",
   "metadata": {},
   "source": [
    "*Note: When running on Colab, one might encounter a pip dependency error with Lida 0.0.10. This can be ignored*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c841497",
   "metadata": {},
   "source": [
    "## Environment & Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b55dbb83",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import requests\n",
    "\n",
    "from torch.utils.data import DataLoader\n",
    "from torch.optim import AdamW\n",
    "from copy import deepcopy\n",
    "from neuromancer.constraint import variable\n",
    "from neuromancer.loss import PenaltyLoss\n",
    "from neuromancer.modules import blocks\n",
    "from neuromancer.system import Node, System\n",
    "from neuromancer.dataset import DictDataset\n",
    "from neuromancer.problem import Problem\n",
    "from neuromancer.trainer import Trainer\n",
    "from neuromancer.loggers import LossLogger\n",
    "from neuromancer.psl import systems"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "126fba8a-c0e4-43a2-bc80-c5337fd111c2",
   "metadata": {},
   "source": [
    "# Building System\n",
    "\n",
    "One of the key requirements for DPC is a differentiable system model. Although many system models fit into this framework, including neural network architectures, here we model the building using a discrete time linear state space model\n",
    "  $$x_{k+1} = A\\,x_k + B\\,u_k + E\\,d_k,\\quad y_k = C\\,x_k.$$  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "75708bcd-595d-4049-9cc2-8cc7206256b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Create state‑space nodes for the building dynamics, observation, and disturbance.\n",
    "\"\"\"\n",
    "sys = systems['LinearSimpleSingleZone']()\n",
    "    \n",
    "A = torch.tensor(sys.A)\n",
    "B = torch.tensor(sys.Beta)\n",
    "C = torch.tensor(sys.C)\n",
    "E = torch.tensor(sys.E)\n",
    "\n",
    "# problem dimensions\n",
    "nx = sys.nx           # number of states\n",
    "nu = sys.nu           # number of control inputs\n",
    "nd = sys.nD           # number of disturbances\n",
    "nd_obs = sys.nD_obs   # number of observable disturbances\n",
    "ny = sys.ny           # number of controlled outputs\n",
    "nref = ny             # number of references\n",
    "\n",
    "# control action bounds\n",
    "umin = torch.tensor(sys.umin)\n",
    "umax = torch.tensor(sys.umax)\n",
    "\n",
    "def xnext(x, u, d):     # x_{k+1} = A x_k + B u_k + E d_k\n",
    "    return x @ A.T + u @ B.T + d @ E.T\n",
    "state_model = Node(xnext, ['x', 'u', 'd'], ['x'], name='SSM')\n",
    "\n",
    "def ynext(x):           # y_k = C x_k\n",
    "    return x @ C.T\n",
    "obs_model = Node(ynext, ['x'], ['y'], name='y=Cx')\n",
    "\n",
    "# measurable subset of disturbances, i.e. outdoor temperature may be observed where solar irradiance is not measured\n",
    "def dist_obs(d):        \n",
    "    return d[:, sys.d_idx]\n",
    "dist_model = Node(dist_obs, ['d'], ['d_obs'], name='dist_obs')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "b7119077-a984-4586-9444-6b36419e75e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "nsteps = 25\n",
    "nsamples = 2000\n",
    "batch_size = 2000\n",
    "horizon = 48 # 48 time steps at 5 minute intervals = 4 hours of lookahead\n",
    "ymin = 18.0\n",
    "ymax = 27.0\n",
    "\n",
    "# Random Seed for reproducibility\n",
    "rndSeed = 2345\n",
    "np.random.seed(rndSeed)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "763f975d-7991-4606-8a69-4307e16311b2",
   "metadata": {},
   "source": [
    "## Load PG&E Pricing Data\n",
    "\n",
    "The following cell downloads the file automatically from a version hosted on github and saves it locally\n",
    "\n",
    "Alternatively, the data can be found at the following link, under FAQ, the question of \"How Might Hourly Prices Vary?\"\n",
    "\n",
    "https://www.pge.com/en/account/rate-plans/hourly-flex-pricing.html#accordion-cf73526c80-item-e7816eba98"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "66b7aa26-e93d-4831-a9a6-d05f2d472d78",
   "metadata": {},
   "outputs": [],
   "source": [
    "url=\"https://raw.githubusercontent.com/EladMichael/small_example_datasets/main/hourly-flex-prices-historical-sample.xlsx\"\n",
    "response = requests.get(url)\n",
    "\n",
    "os.makedirs('data',exist_ok=True)\n",
    "with open('data/hourly-prices.xlsx', 'wb') as f:\n",
    "    f.write(response.content)\n",
    "\n",
    "from pandas import read_excel\n",
    "prices = read_excel('data/hourly-prices.xlsx',sheet_name='HFP_Prices',usecols=[10],skiprows=3).to_numpy().flatten()\n",
    "prices = np.repeat(prices, 12).reshape((-1, 1)) # price is hourly, this makes it into 5 minute increments"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbae7640-386a-4951-b9bc-a1cc0a866d57",
   "metadata": {},
   "source": [
    "### Plot the first few weeks of pricing data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "3372d251-70b5-4b3d-8648-5d3a48bfeb4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '$ per kWh')"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "week = (7*24*60//5)\n",
    "n_weeks = 5\n",
    "plt.figure(figsize=(10,5))\n",
    "for i in range(n_weeks):\n",
    "    plt.plot(prices[i*week:(i+1)*week],label=f\"Week {i} Prices\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.title(f\"First {n_weeks} Weeks of Electricity Pricing\")\n",
    "plt.ylabel(\"$ per kWh\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6d9e06a-1b26-47e8-9f7a-4f66695359cd",
   "metadata": {},
   "source": [
    "## Dataset Preparation (Lookahead)\n",
    "\n",
    "In order to effectively load-shift, the controller needs a prediction or lookahead of the incoming grid pricing. Typically these data are made available to users 24 hours ahead of time. In these cells, we create prediction vectors for the grid pricing (as well as outdoor temperature, aka weather forecast) to input to the controller. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "4f8d21fa-3fe1-4cb5-b363-6884d74bf811",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_lookahead(arr: torch.Tensor, horizon: int) -> torch.Tensor:\n",
    "    \"\"\"Construct look‑ahead feature matrix.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    arr : Tensor [B, T, D]\n",
    "    horizon : int\n",
    "        Number of future steps to stack.\n",
    "\n",
    "    Returns\n",
    "    -------\n",
    "    Tensor [B, T‑horizon+1, D*horizon]\n",
    "    \"\"\"\n",
    "    B, nsteps, D = arr.shape\n",
    "    if horizon < 1:\n",
    "        raise ValueError(\"horizon must be >= 1\")\n",
    "\n",
    "    lookahead_arr = torch.zeros((B, nsteps - horizon + 1, D * horizon))\n",
    "    for b in range(B):\n",
    "        for step in range(nsteps - horizon + 1):\n",
    "            lookahead_arr[b, step, :] = arr[b, step:step + horizon, :].flatten()\n",
    "    return lookahead_arr\n",
    "\n",
    "### Useful lambda function to make lookahead a little smoother to write/read\n",
    "lookahead = lambda x: make_lookahead(x,horizon)\n",
    "\n",
    "def build_lookahead_dataloader(\n",
    "    sys,\n",
    "    prices: np.ndarray,\n",
    "    nsteps: int,\n",
    "    nsamples: int,\n",
    "    batch_size: int,\n",
    "    ymin: float,\n",
    "    ymax: float,\n",
    "    name: str,\n",
    "    horizon: int,\n",
    "):\n",
    "    \"\"\"Create a DataLoader of random rollouts with look‑ahead exogenous signals.\"\"\"\n",
    "\n",
    "    ymin_gen = torch.distributions.Uniform(ymin, 0.5*(ymin+ymax))\n",
    "    ymax_gen = torch.distributions.Uniform(0.5*(ymin+ymax), ymax)\n",
    "\n",
    "    batched_ymin = ymin_gen.sample((nsamples, 1, sys.ny)).repeat(1, nsteps+horizon, 1)\n",
    "    batched_ymax = ymax_gen.sample((nsamples, 1, sys.ny)).repeat(1, nsteps+horizon, 1)\n",
    "    ymin_lookahead = lookahead(batched_ymin)\n",
    "    ymax_lookahead = lookahead(batched_ymax)\n",
    "\n",
    "    # choose random starting indices that line up with the same 5‑minute slot\n",
    "    p_idxs = [np.random.randint(0, prices.shape[0]-nsteps-horizon) for _ in range(nsamples)]\n",
    "    const = 288*((sys._D.shape[0]-nsteps-horizon)//288)\n",
    "    d_idxs = [idx % const for idx in p_idxs]\n",
    "\n",
    "    batched_dist = torch.stack([\n",
    "        torch.tensor(sys._D[idx:idx+nsteps+horizon], dtype=torch.float) for idx in d_idxs\n",
    "    ])\n",
    "    batched_dist[:, :, 0] -= 10.0   # make it colder, to ensure only heating is needed\n",
    "    dist_lookahead = lookahead(batched_dist[:, :, sys.d_idx])\n",
    "\n",
    "    batched_price = torch.stack([\n",
    "        torch.tensor(prices[idx:idx+nsteps+horizon], dtype=torch.float) for idx in p_idxs\n",
    "    ])\n",
    "    price_lookahead = lookahead(batched_price)\n",
    "\n",
    "    batched_x0 = torch.stack([torch.tensor(sys.get_x0(), dtype=torch.float).unsqueeze(0)\n",
    "                              for _ in range(nsamples)])\n",
    "\n",
    "    data = DictDataset(\n",
    "        {\n",
    "            \"x\": batched_x0,\n",
    "            \"ymin_lookahead\": ymin_lookahead,\n",
    "            \"ymax_lookahead\": ymax_lookahead,\n",
    "            \"d\": batched_dist[:, :nsteps, :],\n",
    "            \"d_obs_lookahead\": dist_lookahead,\n",
    "            \"price_lookahead\": price_lookahead,\n",
    "            \"d_idx\": torch.tensor(d_idxs).reshape(nsamples, 1, 1),\n",
    "        },\n",
    "        name=name,\n",
    "    )\n",
    "\n",
    "    return DataLoader(data, batch_size=batch_size, collate_fn=data.collate_fn, shuffle=True)\n",
    "\n",
    "def print_data(data):\n",
    "    for key in data:\n",
    "        if hasattr(data[key], 'shape'):\n",
    "            print(key, \" : \", data[key].shape, \" , \", data[key].dtype)\n",
    "        else:\n",
    "            print(key, \" : \", data[key])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "025691d5-0226-447d-8ff4-d50d220dbe50",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ---- dataset ---------------------------------------------------------------\n",
    "train_loader = build_lookahead_dataloader(sys, prices,\n",
    "                                          nsteps,\n",
    "                                          nsamples,\n",
    "                                          batch_size,\n",
    "                                          ymin, ymax,\n",
    "                                          name='train',\n",
    "                                          horizon=horizon)\n",
    "\n",
    "dev_loader = build_lookahead_dataloader(sys, prices,\n",
    "                                        nsteps,\n",
    "                                        nsamples//5,\n",
    "                                        batch_size,\n",
    "                                        ymin, ymax,\n",
    "                                        name='dev',\n",
    "                                        horizon=horizon)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5870af7e-ae5d-4309-871c-838a625f8280",
   "metadata": {},
   "source": [
    "### We can examine one element of the data loaders, to see the lookahead and other tensors shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "7a505827-ea41-4295-8378-dd1dc4d3d419",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x  :  torch.Size([2000, 1, 4])  ,  torch.float32\n",
      "ymin_lookahead  :  torch.Size([2000, 26, 48])  ,  torch.float32\n",
      "ymax_lookahead  :  torch.Size([2000, 26, 48])  ,  torch.float32\n",
      "d  :  torch.Size([2000, 25, 3])  ,  torch.float32\n",
      "d_obs_lookahead  :  torch.Size([2000, 26, 48])  ,  torch.float32\n",
      "price_lookahead  :  torch.Size([2000, 26, 48])  ,  torch.float32\n",
      "d_idx  :  torch.Size([2000, 1, 1])  ,  torch.int64\n",
      "name  :  train\n"
     ]
    }
   ],
   "source": [
    "print_data(next(iter(train_loader)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e31786c9-5770-4da1-aa11-25b20c60cc3a",
   "metadata": {},
   "source": [
    "## Neural Network Control Policy\n",
    "\n",
    "The next layer of the DPC pipeline, after the building model and input datasets, is the control policy. In keeping with the motivation of the algorithm, each step must be differentiable, so we use a neural network to determine the policy mapping\n",
    "  $$u_k = \\pi_\\theta\\bigl(x_k,\\;y_{\\min},\\;y_{\\max},\\;P_k\\bigr)$$  \n",
    "  that minimizes energy cost under price forecasts and enforces  \n",
    "  $$y_{\\min}\\le y_k\\le y_{\\max}.$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "40a13fac-8f0d-4b51-8057-7cf70d46522b",
   "metadata": {},
   "outputs": [],
   "source": [
    "h_size = 32\n",
    "n_layers = 2\n",
    "\n",
    "no_forecast_inputs = ['y']\n",
    "forecast_inputs = ['d_obs', 'ymin', 'ymax', 'price']\n",
    "forecast_inputs = [var+'_lookahead' for var in forecast_inputs]\n",
    "inputs = no_forecast_inputs+forecast_inputs\n",
    "\n",
    "forecast_sizes = (horizon)*np.array([sys.nD_obs, sys.ny, sys.ny, 1])\n",
    "no_forecast_sizes = [sys.ny]\n",
    "input_size = sum(no_forecast_sizes) + sum(forecast_sizes)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d44a23db-c9e9-4f1d-9757-84814c6d5c97",
   "metadata": {},
   "source": [
    "#### Here we use an MLP with built in bounds, from Neuromancer, to enforce the input constraints\n",
    "  $$u_{\\min}\\le u_k\\le u_{\\max}.$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "fec5e34a-2e02-4c6c-b02c-4231759cba4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Fully‑connected neural network policy with element‑wise bounds.\n",
    "\"\"\"\n",
    "net = blocks.MLP_bounds(\n",
    "    insize=input_size,\n",
    "    outsize=sys.nu,\n",
    "    hsizes=[h_size]*n_layers,\n",
    "    nonlin=torch.nn.LeakyReLU,\n",
    "    min=torch.tensor(sys.umin),\n",
    "    max=torch.tensor(sys.umax),\n",
    ")\n",
    "policy = Node(net, inputs, ['u'], name='policy')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c20955c5-bdbd-4ba9-931d-d440594affce",
   "metadata": {},
   "source": [
    "## The two models: Grid Responsive and Vanilla (No Pricing Data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "2c5a34f5-d836-4947-9664-e6a05f27c881",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "resp_sys = System([obs_model, policy, state_model],\n",
    "                   nsteps=nsteps,\n",
    "                   name='cl_system')\n",
    "vanilla_sys = deepcopy(resp_sys)\n",
    "resp_sys.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6672ae1e-7115-436d-905d-2cee9c244c99",
   "metadata": {},
   "source": [
    "## Loss Functions\n",
    "The gains here can be tuned to change the emphasis of the solver, on price or on temperature constraint satisfaction. The general form of the optimization problem here is  \n",
    "  $$\\begin{aligned}\n",
    "  &\\min_\\theta\\;\\sum_{k=1}^{N-1} q_p\\|u_k\\|_{P_k}^2 + q_t||\\max(0,y_k - y_{\\max},y_{\\min}-y_k)||_2^2\\\\\n",
    "  &\\text{subject to dynamics and bound constraints as above,}\n",
    "  \\end{aligned}$$  \n",
    "  where $P_k$ is the time-varying price penalty and $q_p,q_t\\in\\mathcal{R}$ the gains which balance the tradeoff of energy/price minimization and temperature tracking. We train implement two different loss functions here, one with pricing info and one only penalizing the action input, i.e. a \"vanilla\" DPC implementation, to compare the effect of pricing on the objective function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "28e4fd73-2d43-4c34-a4b9-1fc6cf53ccc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "price_gain = 1\n",
    "action_gain = 0.03\n",
    "smooth_gain = 0\n",
    "comfort_gain = 5e06\n",
    "\n",
    "y_var = variable('y')\n",
    "u_var = variable('u')\n",
    "ymin_var = variable('ymin_lookahead')[:, :-1, 0:1]\n",
    "ymax_var = variable('ymax_lookahead')[:, :-1, 0:1]\n",
    "price_var = variable('price_lookahead')[:, :-1, 0:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "6cebc29d-0e8e-4f84-bb5a-2caf5f2d85eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Composite loss:\n",
    "  1. energy use weighted by real‑time price\n",
    "  3. comfort constraints (soft)\n",
    "\"\"\"\n",
    "\n",
    "# price-weighted energy use\n",
    "price_loss_var = price_gain * ((u_var * price_var) == torch.zeros_like(u_var)) ^ 2\n",
    "action_loss = action_gain * (u_var == torch.zeros_like(u_var)) ^ 2\n",
    "comfort_lower = comfort_gain * (y_var > ymin_var)\n",
    "comfort_upper = comfort_gain * (y_var < ymax_var)\n",
    "\n",
    "price_loss_var.name = 'price_loss'\n",
    "action_loss.name = 'action_loss'\n",
    "comfort_lower.name = 'y_min'\n",
    "comfort_upper.name = 'y_max'\n",
    "\n",
    "responsive_objective = [price_loss_var]\n",
    "vanilla_objective = [action_loss]\n",
    "constraints = [comfort_lower, comfort_upper]\n",
    "\n",
    "loss_responsive = PenaltyLoss(responsive_objective, constraints)\n",
    "loss_vanilla = PenaltyLoss(vanilla_objective, constraints)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82d37ce4-c7cf-4def-b7fc-3992b69be22a",
   "metadata": {},
   "source": [
    "## Differentiable Optimal Control Problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "d1c8fb5f-781a-4514-8241-2eeac53a6801",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "problem_responsive = Problem(nodes=[resp_sys], loss=loss_responsive)\n",
    "problem_vanilla = Problem(nodes=[vanilla_sys], loss=loss_vanilla)\n",
    "problem_responsive.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ee4c9a4-8de4-411c-a582-f3abcedce355",
   "metadata": {},
   "source": [
    "# Solve Problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "3bc5e442-8b51-4c7f-aa6f-1b34f37cc04d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n",
      "Number of parameters: 7297\n",
      "epoch: 0\ttrain_loss: 2453900.75000\tdev_loss: 1444343.00000\teltime:  0.31483\n",
      "epoch: 1\ttrain_loss: 1728411.25000\tdev_loss: 1414355.75000\teltime:  0.47917\n",
      "epoch: 2\ttrain_loss: 1681584.62500\tdev_loss: 1494455.87500\teltime:  0.63515\n",
      "epoch: 3\ttrain_loss: 1683190.25000\tdev_loss: 1471263.62500\teltime:  0.76985\n",
      "epoch: 4\ttrain_loss: 1660849.25000\tdev_loss: 1394842.50000\teltime:  0.91530\n",
      "epoch: 5\ttrain_loss: 1625111.75000\tdev_loss: 1391000.00000\teltime:  1.07390\n",
      "epoch: 6\ttrain_loss: 1616880.25000\tdev_loss: 1407145.62500\teltime:  1.34542\n",
      "epoch: 7\ttrain_loss: 1602194.62500\tdev_loss: 1391441.87500\teltime:  1.50231\n",
      "epoch: 8\ttrain_loss: 1589598.12500\tdev_loss: 1381527.75000\teltime:  1.65120\n",
      "epoch: 9\ttrain_loss: 1578635.37500\tdev_loss: 1368543.12500\teltime:  1.79401\n",
      "epoch: 10\ttrain_loss: 1566856.00000\tdev_loss: 1371370.50000\teltime:  1.97267\n",
      "epoch: 11\ttrain_loss: 1550134.75000\tdev_loss: 1372356.75000\teltime:  2.11247\n",
      "epoch: 12\ttrain_loss: 1537558.00000\tdev_loss: 1341730.75000\teltime:  2.26021\n",
      "epoch: 13\ttrain_loss: 1522186.75000\tdev_loss: 1329295.25000\teltime:  2.42684\n",
      "epoch: 14\ttrain_loss: 1500362.62500\tdev_loss: 1313917.75000\teltime:  2.57017\n",
      "epoch: 15\ttrain_loss: 1478976.00000\tdev_loss: 1296443.37500\teltime:  2.74708\n",
      "epoch: 16\ttrain_loss: 1469500.50000\tdev_loss: 1289968.75000\teltime:  2.88777\n",
      "epoch: 17\ttrain_loss: 1442050.75000\tdev_loss: 1317896.25000\teltime:  3.04188\n",
      "epoch: 18\ttrain_loss: 1437424.75000\tdev_loss: 1298391.25000\teltime:  3.18487\n",
      "epoch: 19\ttrain_loss: 1416004.75000\tdev_loss: 1260542.50000\teltime:  3.35694\n",
      "epoch: 20\ttrain_loss: 1413321.50000\tdev_loss: 1253523.50000\teltime:  3.56841\n",
      "epoch: 21\ttrain_loss: 1405297.87500\tdev_loss: 1262236.25000\teltime:  3.82381\n",
      "epoch: 22\ttrain_loss: 1376599.75000\tdev_loss: 1245931.25000\teltime:  3.95730\n",
      "epoch: 23\ttrain_loss: 1364136.37500\tdev_loss: 1209846.50000\teltime:  4.10395\n",
      "epoch: 24\ttrain_loss: 1364160.25000\tdev_loss: 1198006.62500\teltime:  4.24882\n",
      "epoch: 25\ttrain_loss: 1348469.62500\tdev_loss: 1239367.25000\teltime:  4.38667\n",
      "epoch: 26\ttrain_loss: 1351322.87500\tdev_loss: 1231203.00000\teltime:  4.61361\n",
      "epoch: 27\ttrain_loss: 1342113.75000\tdev_loss: 1174966.00000\teltime:  4.77351\n",
      "epoch: 28\ttrain_loss: 1323624.12500\tdev_loss: 1170446.50000\teltime:  4.92502\n",
      "epoch: 29\ttrain_loss: 1315027.75000\tdev_loss: 1216054.37500\teltime:  5.06555\n",
      "epoch: 30\ttrain_loss: 1318840.87500\tdev_loss: 1207160.50000\teltime:  5.20630\n",
      "epoch: 31\ttrain_loss: 1308990.12500\tdev_loss: 1160242.37500\teltime:  5.33985\n",
      "epoch: 32\ttrain_loss: 1298432.50000\tdev_loss: 1157855.00000\teltime:  5.49408\n",
      "epoch: 33\ttrain_loss: 1290652.62500\tdev_loss: 1205613.75000\teltime:  5.65210\n",
      "epoch: 34\ttrain_loss: 1296409.12500\tdev_loss: 1200523.75000\teltime:  5.85306\n",
      "epoch: 35\ttrain_loss: 1290747.75000\tdev_loss: 1149070.37500\teltime:  6.00161\n",
      "epoch: 36\ttrain_loss: 1275062.50000\tdev_loss: 1147154.12500\teltime:  6.14559\n",
      "epoch: 37\ttrain_loss: 1267889.00000\tdev_loss: 1208015.25000\teltime:  6.28951\n",
      "epoch: 38\ttrain_loss: 1288725.62500\tdev_loss: 1204334.25000\teltime:  6.57211\n",
      "epoch: 39\ttrain_loss: 1284417.00000\tdev_loss: 1138038.37500\teltime:  6.71970\n",
      "epoch: 40\ttrain_loss: 1253123.50000\tdev_loss: 1136254.75000\teltime:  6.88259\n",
      "epoch: 41\ttrain_loss: 1247755.12500\tdev_loss: 1192974.37500\teltime:  7.04291\n",
      "epoch: 42\ttrain_loss: 1269073.62500\tdev_loss: 1173750.87500\teltime:  7.18033\n",
      "epoch: 43\ttrain_loss: 1253804.87500\tdev_loss: 1120248.12500\teltime:  7.32811\n",
      "epoch: 44\ttrain_loss: 1241317.62500\tdev_loss: 1118176.25000\teltime:  7.47920\n",
      "epoch: 45\ttrain_loss: 1238841.37500\tdev_loss: 1151988.87500\teltime:  7.64090\n",
      "epoch: 46\ttrain_loss: 1233023.12500\tdev_loss: 1142159.50000\teltime:  7.78442\n",
      "epoch: 47\ttrain_loss: 1225846.75000\tdev_loss: 1112063.25000\teltime:  7.92779\n",
      "epoch: 48\ttrain_loss: 1239422.25000\tdev_loss: 1109685.75000\teltime:  8.08716\n",
      "epoch: 49\ttrain_loss: 1234777.87500\tdev_loss: 1135057.50000\teltime:  8.29904\n",
      "epoch: 50\ttrain_loss: 1216706.12500\tdev_loss: 1127980.75000\teltime:  8.45438\n",
      "epoch: 51\ttrain_loss: 1212224.62500\tdev_loss: 1103092.37500\teltime:  8.63619\n",
      "epoch: 52\ttrain_loss: 1233088.37500\tdev_loss: 1100835.00000\teltime:  8.80591\n",
      "epoch: 53\ttrain_loss: 1229959.87500\tdev_loss: 1117801.87500\teltime:  9.08589\n",
      "epoch: 54\ttrain_loss: 1203881.50000\tdev_loss: 1110647.87500\teltime:  9.21840\n",
      "epoch: 55\ttrain_loss: 1200431.12500\tdev_loss: 1096662.50000\teltime:  9.36379\n",
      "epoch: 56\ttrain_loss: 1231220.87500\tdev_loss: 1093898.00000\teltime:  9.52004\n",
      "epoch: 57\ttrain_loss: 1226231.87500\tdev_loss: 1104527.75000\teltime:  9.66505\n",
      "epoch: 58\ttrain_loss: 1191926.62500\tdev_loss: 1104363.00000\teltime:  9.80639\n",
      "epoch: 59\ttrain_loss: 1188872.50000\tdev_loss: 1084648.50000\teltime:  9.97343\n",
      "epoch: 60\ttrain_loss: 1208442.50000\tdev_loss: 1081920.00000\teltime:  10.11350\n",
      "epoch: 61\ttrain_loss: 1197497.25000\tdev_loss: 1125977.62500\teltime:  10.25403\n",
      "epoch: 62\ttrain_loss: 1194735.37500\tdev_loss: 1126131.62500\teltime:  10.40064\n",
      "epoch: 63\ttrain_loss: 1193509.25000\tdev_loss: 1078245.25000\teltime:  10.54874\n",
      "epoch: 64\ttrain_loss: 1183646.50000\tdev_loss: 1077652.25000\teltime:  10.68493\n",
      "epoch: 65\ttrain_loss: 1178461.75000\tdev_loss: 1136229.50000\teltime:  10.84877\n",
      "epoch: 66\ttrain_loss: 1194780.00000\tdev_loss: 1130840.50000\teltime:  11.12313\n",
      "epoch: 67\ttrain_loss: 1189422.12500\tdev_loss: 1072305.75000\teltime:  11.28476\n",
      "epoch: 68\ttrain_loss: 1173731.12500\tdev_loss: 1072133.37500\teltime:  11.45212\n",
      "epoch: 69\ttrain_loss: 1170391.50000\tdev_loss: 1137231.00000\teltime:  11.73651\n",
      "epoch: 70\ttrain_loss: 1190099.12500\tdev_loss: 1132036.25000\teltime:  11.87210\n",
      "epoch: 71\ttrain_loss: 1185710.00000\tdev_loss: 1068259.25000\teltime:  12.02716\n",
      "epoch: 72\ttrain_loss: 1165799.00000\tdev_loss: 1068692.50000\teltime:  12.17072\n",
      "epoch: 73\ttrain_loss: 1162012.12500\tdev_loss: 1141884.50000\teltime:  12.32854\n",
      "epoch: 74\ttrain_loss: 1191841.87500\tdev_loss: 1137371.25000\teltime:  12.47379\n",
      "epoch: 75\ttrain_loss: 1188767.37500\tdev_loss: 1065432.75000\teltime:  12.63593\n",
      "epoch: 76\ttrain_loss: 1156883.87500\tdev_loss: 1066088.87500\teltime:  12.77281\n",
      "epoch: 77\ttrain_loss: 1154369.62500\tdev_loss: 1144936.75000\teltime:  13.00816\n",
      "epoch: 78\ttrain_loss: 1193198.12500\tdev_loss: 1136719.25000\teltime:  13.13938\n",
      "epoch: 79\ttrain_loss: 1186403.37500\tdev_loss: 1059714.50000\teltime:  13.28379\n",
      "epoch: 80\ttrain_loss: 1150828.25000\tdev_loss: 1060122.00000\teltime:  13.43535\n",
      "epoch: 81\ttrain_loss: 1148475.75000\tdev_loss: 1140240.25000\teltime:  13.61815\n",
      "epoch: 82\ttrain_loss: 1187260.62500\tdev_loss: 1131806.12500\teltime:  13.74513\n",
      "epoch: 83\ttrain_loss: 1180675.62500\tdev_loss: 1054096.62500\teltime:  13.89494\n",
      "epoch: 84\ttrain_loss: 1145109.75000\tdev_loss: 1054290.50000\teltime:  14.03812\n",
      "epoch: 85\ttrain_loss: 1142718.75000\tdev_loss: 1132536.87500\teltime:  14.39117\n",
      "epoch: 86\ttrain_loss: 1180463.50000\tdev_loss: 1122915.25000\teltime:  14.54089\n",
      "epoch: 87\ttrain_loss: 1173113.75000\tdev_loss: 1047240.93750\teltime:  14.74098\n",
      "epoch: 88\ttrain_loss: 1140108.12500\tdev_loss: 1047054.37500\teltime:  14.94455\n",
      "epoch: 89\ttrain_loss: 1137840.00000\tdev_loss: 1121082.75000\teltime:  15.20631\n",
      "epoch: 90\ttrain_loss: 1170539.75000\tdev_loss: 1111865.75000\teltime:  15.39917\n",
      "epoch: 91\ttrain_loss: 1163206.12500\tdev_loss: 1040385.75000\teltime:  15.63556\n",
      "epoch: 92\ttrain_loss: 1135846.00000\tdev_loss: 1040193.68750\teltime:  15.82724\n",
      "epoch: 93\ttrain_loss: 1133368.37500\tdev_loss: 1111549.75000\teltime:  15.98491\n",
      "epoch: 94\ttrain_loss: 1161422.37500\tdev_loss: 1103419.00000\teltime:  16.12743\n",
      "epoch: 95\ttrain_loss: 1155348.00000\tdev_loss: 1034651.87500\teltime:  16.34339\n",
      "epoch: 96\ttrain_loss: 1131245.50000\tdev_loss: 1034504.75000\teltime:  16.54483\n",
      "epoch: 97\ttrain_loss: 1128598.87500\tdev_loss: 1104698.37500\teltime:  16.72722\n",
      "epoch: 98\ttrain_loss: 1155426.00000\tdev_loss: 1096752.75000\teltime:  16.89460\n",
      "epoch: 99\ttrain_loss: 1149618.75000\tdev_loss: 1029106.06250\teltime:  17.04544\n",
      "epoch: 100\ttrain_loss: 1126636.50000\tdev_loss: 1028812.43750\teltime:  17.23221\n",
      "epoch: 101\ttrain_loss: 1124174.12500\tdev_loss: 1096613.87500\teltime:  17.49806\n",
      "epoch: 102\ttrain_loss: 1148669.25000\tdev_loss: 1087778.12500\teltime:  17.64221\n",
      "epoch: 103\ttrain_loss: 1142194.25000\tdev_loss: 1023398.75000\teltime:  17.78221\n",
      "epoch: 104\ttrain_loss: 1123427.12500\tdev_loss: 1022852.12500\teltime:  17.90801\n",
      "epoch: 105\ttrain_loss: 1121063.12500\tdev_loss: 1085628.25000\teltime:  18.05759\n",
      "epoch: 106\ttrain_loss: 1139582.75000\tdev_loss: 1076909.62500\teltime:  18.21897\n",
      "epoch: 107\ttrain_loss: 1133318.75000\tdev_loss: 1018256.87500\teltime:  18.36075\n",
      "epoch: 108\ttrain_loss: 1120976.37500\tdev_loss: 1017565.81250\teltime:  18.51995\n",
      "epoch: 109\ttrain_loss: 1118452.75000\tdev_loss: 1074965.62500\teltime:  18.67667\n",
      "epoch: 110\ttrain_loss: 1130917.75000\tdev_loss: 1066768.62500\teltime:  18.85951\n",
      "epoch: 111\ttrain_loss: 1125209.75000\tdev_loss: 1013654.18750\teltime:  19.12949\n",
      "epoch: 112\ttrain_loss: 1118604.00000\tdev_loss: 1012808.00000\teltime:  19.26071\n",
      "epoch: 113\ttrain_loss: 1115958.12500\tdev_loss: 1064946.00000\teltime:  19.40721\n",
      "epoch: 114\ttrain_loss: 1122872.25000\tdev_loss: 1057153.00000\teltime:  19.53743\n",
      "epoch: 115\ttrain_loss: 1117648.62500\tdev_loss: 1009374.75000\teltime:  19.67742\n",
      "epoch: 116\ttrain_loss: 1116554.62500\tdev_loss: 1008460.81250\teltime:  19.84110\n",
      "epoch: 117\ttrain_loss: 1113758.87500\tdev_loss: 1055983.37500\teltime:  20.15113\n",
      "epoch: 118\ttrain_loss: 1115644.50000\tdev_loss: 1048961.62500\teltime:  20.29139\n",
      "epoch: 119\ttrain_loss: 1111146.62500\tdev_loss: 1005552.37500\teltime:  20.51904\n",
      "epoch: 120\ttrain_loss: 1114242.25000\tdev_loss: 1004565.62500\teltime:  20.70308\n",
      "epoch: 121\ttrain_loss: 1111099.37500\tdev_loss: 1049339.87500\teltime:  20.84066\n",
      "epoch: 122\ttrain_loss: 1110201.75000\tdev_loss: 1042910.68750\teltime:  20.96456\n",
      "epoch: 123\ttrain_loss: 1106203.37500\tdev_loss: 1001802.43750\teltime:  21.14797\n",
      "epoch: 124\ttrain_loss: 1111262.25000\tdev_loss: 1000671.87500\teltime:  21.41580\n",
      "epoch: 125\ttrain_loss: 1108036.62500\tdev_loss: 1043258.93750\teltime:  21.63322\n",
      "epoch: 126\ttrain_loss: 1105332.75000\tdev_loss: 1036923.56250\teltime:  21.84604\n",
      "epoch: 127\ttrain_loss: 1101422.00000\tdev_loss: 997938.75000\teltime:  22.07722\n",
      "epoch: 128\ttrain_loss: 1108435.75000\tdev_loss: 996703.68750\teltime:  22.27584\n",
      "epoch: 129\ttrain_loss: 1105177.50000\tdev_loss: 1037046.68750\teltime:  22.43238\n",
      "epoch: 130\ttrain_loss: 1100257.25000\tdev_loss: 1030962.93750\teltime:  22.56438\n",
      "epoch: 131\ttrain_loss: 1096611.00000\tdev_loss: 994267.18750\teltime:  22.72135\n",
      "epoch: 132\ttrain_loss: 1105615.62500\tdev_loss: 992900.75000\teltime:  22.87140\n",
      "epoch: 133\ttrain_loss: 1102169.62500\tdev_loss: 1031668.62500\teltime:  23.16044\n",
      "epoch: 134\ttrain_loss: 1095603.62500\tdev_loss: 1025843.50000\teltime:  23.43383\n",
      "epoch: 135\ttrain_loss: 1092199.62500\tdev_loss: 990563.87500\teltime:  23.60352\n",
      "epoch: 136\ttrain_loss: 1102451.87500\tdev_loss: 989050.87500\teltime:  23.76904\n",
      "epoch: 137\ttrain_loss: 1098848.62500\tdev_loss: 1026833.12500\teltime:  23.91270\n",
      "epoch: 138\ttrain_loss: 1091348.87500\tdev_loss: 1021117.37500\teltime:  24.56071\n",
      "epoch: 139\ttrain_loss: 1088036.87500\tdev_loss: 986658.25000\teltime:  25.38645\n",
      "epoch: 140\ttrain_loss: 1098962.50000\tdev_loss: 985040.50000\teltime:  25.52647\n",
      "epoch: 141\ttrain_loss: 1095208.62500\tdev_loss: 1022453.50000\teltime:  25.73643\n",
      "epoch: 142\ttrain_loss: 1087356.62500\tdev_loss: 1016942.18750\teltime:  25.86113\n",
      "epoch: 143\ttrain_loss: 1084110.25000\tdev_loss: 982687.50000\teltime:  26.00168\n",
      "epoch: 144\ttrain_loss: 1095008.50000\tdev_loss: 980999.31250\teltime:  26.14537\n",
      "epoch: 145\ttrain_loss: 1091125.37500\tdev_loss: 1018717.75000\teltime:  26.28123\n",
      "epoch: 146\ttrain_loss: 1083689.87500\tdev_loss: 1013204.37500\teltime:  26.41491\n",
      "epoch: 147\ttrain_loss: 1080404.75000\tdev_loss: 978601.43750\teltime:  26.56415\n",
      "epoch: 148\ttrain_loss: 1090837.00000\tdev_loss: 976859.00000\teltime:  26.85484\n",
      "epoch: 149\ttrain_loss: 1086978.12500\tdev_loss: 1014741.50000\teltime:  27.00153\n",
      "epoch: 150\ttrain_loss: 1079991.25000\tdev_loss: 1009137.25000\teltime:  27.14432\n",
      "epoch: 151\ttrain_loss: 1076646.12500\tdev_loss: 974473.50000\teltime:  27.29002\n",
      "epoch: 152\ttrain_loss: 1086743.12500\tdev_loss: 972726.56250\teltime:  27.44715\n",
      "epoch: 153\ttrain_loss: 1082893.50000\tdev_loss: 1010864.25000\teltime:  27.58191\n",
      "epoch: 154\ttrain_loss: 1076294.25000\tdev_loss: 1005145.93750\teltime:  27.71313\n",
      "epoch: 155\ttrain_loss: 1072849.50000\tdev_loss: 970501.81250\teltime:  27.97140\n",
      "epoch: 156\ttrain_loss: 1082813.37500\tdev_loss: 968711.12500\teltime:  28.11352\n",
      "epoch: 157\ttrain_loss: 1079021.00000\tdev_loss: 1006737.12500\teltime:  28.27942\n",
      "epoch: 158\ttrain_loss: 1072403.87500\tdev_loss: 1000850.93750\teltime:  28.44713\n",
      "epoch: 159\ttrain_loss: 1068891.87500\tdev_loss: 966555.06250\teltime:  28.74410\n",
      "epoch: 160\ttrain_loss: 1079101.25000\tdev_loss: 964674.75000\teltime:  28.94379\n",
      "epoch: 161\ttrain_loss: 1075305.00000\tdev_loss: 1002303.87500\teltime:  29.13504\n",
      "epoch: 162\ttrain_loss: 1068417.87500\tdev_loss: 996478.37500\teltime:  29.27087\n",
      "epoch: 163\ttrain_loss: 1064916.87500\tdev_loss: 962609.25000\teltime:  29.43055\n",
      "epoch: 164\ttrain_loss: 1075392.00000\tdev_loss: 960684.50000\teltime:  29.73434\n",
      "epoch: 165\ttrain_loss: 1071555.87500\tdev_loss: 998154.00000\teltime:  29.88582\n",
      "epoch: 166\ttrain_loss: 1064544.12500\tdev_loss: 992260.75000\teltime:  30.09277\n",
      "epoch: 167\ttrain_loss: 1060975.50000\tdev_loss: 958759.75000\teltime:  30.24418\n",
      "epoch: 168\ttrain_loss: 1071869.00000\tdev_loss: 956768.31250\teltime:  30.44503\n",
      "epoch: 169\ttrain_loss: 1068088.50000\tdev_loss: 993398.31250\teltime:  30.62831\n",
      "epoch: 170\ttrain_loss: 1060369.12500\tdev_loss: 987435.93750\teltime:  30.78907\n",
      "epoch: 171\ttrain_loss: 1056806.50000\tdev_loss: 954933.18750\teltime:  30.98227\n",
      "epoch: 172\ttrain_loss: 1068594.25000\tdev_loss: 952820.18750\teltime:  31.16602\n",
      "epoch: 173\ttrain_loss: 1064697.00000\tdev_loss: 988647.12500\teltime:  31.35069\n",
      "epoch: 174\ttrain_loss: 1056259.75000\tdev_loss: 982874.12500\teltime:  31.51268\n",
      "epoch: 175\ttrain_loss: 1052792.87500\tdev_loss: 951051.43750\teltime:  32.06323\n",
      "epoch: 176\ttrain_loss: 1065070.12500\tdev_loss: 948861.56250\teltime:  32.31250\n",
      "epoch: 177\ttrain_loss: 1061095.12500\tdev_loss: 984292.31250\teltime:  32.49250\n",
      "epoch: 178\ttrain_loss: 1052296.75000\tdev_loss: 978478.00000\teltime:  32.64578\n",
      "epoch: 179\ttrain_loss: 1048808.25000\tdev_loss: 947132.56250\teltime:  32.92492\n",
      "epoch: 180\ttrain_loss: 1061590.75000\tdev_loss: 944887.18750\teltime:  33.07533\n",
      "epoch: 181\ttrain_loss: 1057599.00000\tdev_loss: 979658.56250\teltime:  33.23840\n",
      "epoch: 182\ttrain_loss: 1048245.56250\tdev_loss: 973883.81250\teltime:  33.39569\n",
      "epoch: 183\ttrain_loss: 1044777.12500\tdev_loss: 943144.50000\teltime:  33.55240\n",
      "epoch: 184\ttrain_loss: 1058088.87500\tdev_loss: 940859.62500\teltime:  33.70101\n",
      "epoch: 185\ttrain_loss: 1054013.25000\tdev_loss: 975312.43750\teltime:  33.84575\n",
      "epoch: 186\ttrain_loss: 1044389.37500\tdev_loss: 969553.62500\teltime:  33.97410\n",
      "epoch: 187\ttrain_loss: 1040926.62500\tdev_loss: 939126.37500\teltime:  34.20134\n",
      "epoch: 188\ttrain_loss: 1054521.12500\tdev_loss: 936851.68750\teltime:  34.33981\n",
      "epoch: 189\ttrain_loss: 1050478.50000\tdev_loss: 970696.37500\teltime:  34.45223\n",
      "epoch: 190\ttrain_loss: 1040487.68750\tdev_loss: 964857.68750\teltime:  34.59687\n",
      "epoch: 191\ttrain_loss: 1037014.18750\tdev_loss: 935173.75000\teltime:  34.72964\n",
      "epoch: 192\ttrain_loss: 1051060.75000\tdev_loss: 932922.31250\teltime:  34.88002\n",
      "epoch: 193\ttrain_loss: 1046948.43750\tdev_loss: 966244.68750\teltime:  35.06538\n",
      "epoch: 194\ttrain_loss: 1036664.37500\tdev_loss: 960224.31250\teltime:  35.24235\n",
      "epoch: 195\ttrain_loss: 1033108.50000\tdev_loss: 931276.62500\teltime:  35.52772\n",
      "epoch: 196\ttrain_loss: 1047799.56250\tdev_loss: 929034.37500\teltime:  35.69125\n",
      "epoch: 197\ttrain_loss: 1043675.18750\tdev_loss: 961407.12500\teltime:  35.88732\n",
      "epoch: 198\ttrain_loss: 1032676.68750\tdev_loss: 955361.50000\teltime:  36.07311\n",
      "epoch: 199\ttrain_loss: 1029165.00000\tdev_loss: 927413.12500\teltime:  36.24521\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opt_responsive = AdamW(problem_responsive.parameters(), lr=1e-3)\n",
    "\n",
    "logger = LossLogger(verbosity=1, stdout=['dev_loss', 'train_loss'])\n",
    "#  Neuromancer trainer\n",
    "trainer = Trainer(\n",
    "    problem_responsive,\n",
    "    train_loader,\n",
    "    dev_loader,\n",
    "    optimizer=opt_responsive,\n",
    "    epochs=200,\n",
    "    logger=logger,\n",
    "    train_metric='train_loss',\n",
    "    eval_metric='dev_loss',\n",
    "    warmup=20,\n",
    "    patience=50,\n",
    ")\n",
    "\n",
    "# Train control policy\n",
    "# print_data(next(iter(train_loader)))\n",
    "best_responsive = trainer.train()\n",
    "# load best trained model\n",
    "trainer.model.load_state_dict(best_responsive)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "29da9a91-4590-4207-b2b9-1609dda34dbe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of parameters: 7297\n",
      "epoch: 0\ttrain_loss: 2362401.25000\tdev_loss: 1427292.25000\teltime:  36.44967\n",
      "epoch: 1\ttrain_loss: 1410382.12500\tdev_loss: 1418517.25000\teltime:  36.57709\n",
      "epoch: 2\ttrain_loss: 1402614.75000\tdev_loss: 1501140.37500\teltime:  37.47873\n",
      "epoch: 3\ttrain_loss: 1487748.37500\tdev_loss: 1465422.50000\teltime:  37.70520\n",
      "epoch: 4\ttrain_loss: 1451127.50000\tdev_loss: 1406175.50000\teltime:  37.88537\n",
      "epoch: 5\ttrain_loss: 1396515.12500\tdev_loss: 1406499.87500\teltime:  38.01239\n",
      "epoch: 6\ttrain_loss: 1400651.25000\tdev_loss: 1405085.25000\teltime:  38.13641\n",
      "epoch: 7\ttrain_loss: 1392481.25000\tdev_loss: 1407035.50000\teltime:  38.26631\n",
      "epoch: 8\ttrain_loss: 1389361.50000\tdev_loss: 1390732.37500\teltime:  38.40972\n",
      "epoch: 9\ttrain_loss: 1383276.00000\tdev_loss: 1381471.12500\teltime:  38.56206\n",
      "epoch: 10\ttrain_loss: 1379068.00000\tdev_loss: 1370180.62500\teltime:  38.78727\n",
      "epoch: 11\ttrain_loss: 1373062.75000\tdev_loss: 1370178.12500\teltime:  39.06209\n",
      "epoch: 12\ttrain_loss: 1366771.25000\tdev_loss: 1356723.50000\teltime:  39.25497\n",
      "epoch: 13\ttrain_loss: 1361825.50000\tdev_loss: 1353831.25000\teltime:  39.42780\n",
      "epoch: 14\ttrain_loss: 1359468.75000\tdev_loss: 1357265.00000\teltime:  39.56880\n",
      "epoch: 15\ttrain_loss: 1357389.87500\tdev_loss: 1341590.25000\teltime:  39.75456\n",
      "epoch: 16\ttrain_loss: 1346568.00000\tdev_loss: 1339543.00000\teltime:  39.92336\n",
      "epoch: 17\ttrain_loss: 1356731.87500\tdev_loss: 1336297.75000\teltime:  40.09198\n",
      "epoch: 18\ttrain_loss: 1352813.87500\tdev_loss: 1329991.87500\teltime:  40.23486\n",
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      "epoch: 198\ttrain_loss: 1048687.62500\tdev_loss: 995884.62500\teltime:  79.37404\n",
      "epoch: 199\ttrain_loss: 1055945.75000\tdev_loss: 1005317.62500\teltime:  79.58420\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "opt_vanilla = AdamW(problem_vanilla.parameters(), lr=1e-3)\n",
    "\n",
    "#  Neuromancer trainer\n",
    "trainer = Trainer(\n",
    "    problem_vanilla,\n",
    "    train_loader,\n",
    "    dev_loader,\n",
    "    optimizer=opt_vanilla,\n",
    "    epochs=200,\n",
    "    logger=logger,\n",
    "    train_metric='train_loss',\n",
    "    eval_metric='dev_loss',\n",
    "    warmup=20,\n",
    "    patience=50,\n",
    ")\n",
    "\n",
    "# Train control policy\n",
    "# print_data(next(iter(train_loader)))\n",
    "best_vanilla = trainer.train()\n",
    "# load best trained model\n",
    "trainer.model.load_state_dict(best_vanilla)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61e5bacc-ff3b-44a6-a19b-d32b1ff7782a",
   "metadata": {},
   "source": [
    "### Create test dataset, and test trained controller"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "18cfb573-fda1-4ba9-8a8a-1ff8bebffe21",
   "metadata": {},
   "outputs": [],
   "source": [
    "nsteps_test = 2017\n",
    "\n",
    "# generate disturbance signals\n",
    "p_idx = np.random.randint(0, prices.shape[0]-nsteps_test-horizon)\n",
    "d_idx = p_idx % (288*((sys._D.shape[0]-nsteps_test-horizon)//288))\n",
    "\n",
    "dist = torch.tensor(\n",
    "    sys._D[d_idx:d_idx+nsteps_test+horizon], dtype=torch.float).unsqueeze(0)\n",
    "\n",
    "# make it colder!\n",
    "dist[:, :, 0] -= 10\n",
    "\n",
    "dist_lookahead = lookahead(dist[:, :, sys.d_idx])\n",
    "price = torch.tensor(\n",
    "    prices[p_idx:p_idx+nsteps_test+horizon], dtype=torch.float).unsqueeze(0)\n",
    "price_lookahead = lookahead(price)\n",
    "\n",
    "ymin_sig = ymin*torch.ones((1, nsteps_test+horizon, 1))\n",
    "ymax_sig = ymax*torch.ones((1, nsteps_test+horizon, 1))\n",
    "\n",
    "ymin_lookahead = lookahead(ymin_sig)\n",
    "ymax_lookahead = lookahead(ymax_sig)\n",
    "\n",
    "# initial data for closed loop simulation\n",
    "x0 = torch.tensor(\n",
    "    sys.get_x0(), dtype=torch.float).reshape(1, 1, sys.nx)\n",
    "\n",
    "test_data = {'x': x0,\n",
    "        'ymin_lookahead': ymin_lookahead,\n",
    "        'ymax_lookahead': ymax_lookahead,\n",
    "        'd': dist[:, :nsteps_test, :],\n",
    "        'd_obs_lookahead': dist_lookahead,\n",
    "        'price_lookahead': price_lookahead,\n",
    "        'd_idx': torch.tensor(d_idx).reshape(1, 1, 1)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "e1da7d60-f6cb-47f2-b56b-3beb6e4ee5d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "resp_sys.nsteps = nsteps_test\n",
    "vanilla_sys.nsteps = nsteps_test\n",
    "\n",
    "traj_responsive = resp_sys(test_data)\n",
    "traj_vanilla = vanilla_sys(test_data)\n",
    "\n",
    "# Uncomment to examine the shapes of the fields\n",
    "# print_data(traj)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fcc8e55",
   "metadata": {},
   "source": [
    "## Plot Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "9d0ea501-1475-4911-bedb-c2500892e63d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nZones = 1\n",
    "nsteps = traj_responsive['y'].shape[1]\n",
    "t = np.arange(0, nsteps_test)\n",
    "\n",
    "d_hour = 4\n",
    "\n",
    "offset = traj_responsive['d_idx'].detach().numpy().flatten()[0] % 48\n",
    "\n",
    "hour_ticks = np.arange(offset, nsteps+offset+1, d_hour*12)\n",
    "\n",
    "hour_0 = (traj_responsive['d_idx']+offset)//12\n",
    "\n",
    "hour_labels = np.arange(hour_0, hour_0+1+nsteps//12, d_hour) % 24\n",
    "\n",
    "fig, axs = plt.subplots(2, figsize=(10, 8))\n",
    "\n",
    "def get(traj, key, nsteps):\n",
    "    return traj[key][:, :nsteps, 0].detach().numpy().flatten()\n",
    "\n",
    "ymin = traj_responsive['ymin_lookahead'][:, :nsteps, 0:nZones].detach().numpy()\n",
    "ymax = traj_responsive['ymax_lookahead'][:, :nsteps, 0:nZones].detach().numpy()\n",
    "prices = traj_responsive['price_lookahead'][:,:nsteps, 0:1].detach().numpy().flatten()\n",
    "\n",
    "\n",
    "axs[0].plot(t, get(traj_responsive, 'y', nsteps),\n",
    "               \"-\", color=\"blue\", label=\"Responsive DPC\")\n",
    "axs[0].plot(t, get(traj_vanilla, 'y', nsteps),\n",
    "               \"-\", color=\"orange\", label=\"Vanilla DPC\")\n",
    "\n",
    "axs[0].plot(t, ymin[:, :, 0].flatten(), \"--\",\n",
    "               color=\"black\", label=\"Comfort Bound\")\n",
    "axs[0].plot(t, ymax[:, :, 0].flatten(), \"--\", color=\"black\")\n",
    "axs[0].plot(t, get(traj_responsive, 'd', nsteps), \"-.\",\n",
    "               color=\"red\", alpha=0.5, label=\"Outdoor Air Temperature\")\n",
    "axs[0].grid()\n",
    "axs[0].set_ylabel(r'Temp [$^\\circ$C]')\n",
    "axs[0].set_xticks(hour_ticks, hour_labels)\n",
    "axs[0].set_xlabel(\"Hour of the Day\")\n",
    "axs[0].legend(loc='best')\n",
    "\n",
    "\n",
    "axs[1].plot(t, get(traj_responsive, 'u', nsteps), \"-\", color=\"blue\",label=\"Responsive DPC\")\n",
    "axs[1].plot(t, get(traj_vanilla, 'u', nsteps), \"-\", color=\"orange\",label=\"Vanilla DPC\")\n",
    "if sys.umax.size == 1:\n",
    "    axs[1].plot(t, [sys.umax]*nsteps, \"--\", color=\"black\")\n",
    "    axs[1].plot(t, [sys.umin]*nsteps, \"--\", color=\"black\")\n",
    "else:\n",
    "    axs[1].plot(t, [sys.umax[zone]]*nsteps, \"--\", color=\"black\")\n",
    "    axs[1].plot(t, [sys.umin[zone]]*nsteps, \"--\", color=\"black\")\n",
    "axs[1].set_ylabel('Control Input')\n",
    "axs[1].set_xticks(hour_ticks, hour_labels)\n",
    "axs[1].set_xlabel(\"Hour of the Day\")\n",
    "axs[1].grid()\n",
    "\n",
    "color = 'tab:green'\n",
    "ax2 = axs[1].twinx()\n",
    "ax2.set_ylabel('Energy Price [$/kWh]')\n",
    "ax2.plot(t, prices,\n",
    "         \"-.\", color=color, alpha=0.5)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e295f81-afb5-4ba2-8f5e-3675c3064bed",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "We demonstrate the potential to add a grid responsive element to DPC in the form of variable electricity pricing, demonstrated using a simple HVAC situation with a single zone modelled by an LTI system. The grid responsive controller learned load shifting behavior, using more electricity when it was cheap to avoid usage when it was expensive, by training with awareness of grid pricing data. This is shown by comparing to a vanilla controller which is not trained on a price sensitive objective.\n",
    "\n",
    "### How to Apply This to Other Applications:\n",
    "\n",
    "1. **Data Preparation**:\n",
    "   - Implement a lookahead data structure, so your controller has access to predictions of future inputs\n",
    "\n",
    "\n",
    "2. **Objective Function**:\n",
    "   - Formulate an objective which codifies the possible trade-off between current and future penalties, i.e. electricity usage now to heat the building vs. electricity usage later.\n",
    "\n",
    "\n",
    "3. **Evaluation**:\n",
    "   - Train a controller without the responsiveness to compare the effacacy of the approach\n",
    "\n",
    "---\n",
    "\n",
    "### Future Research Directions:\n",
    "\n",
    "- Explore sensitivity of input correlation, especially in time-series situations\n",
    "- Validate approach in deployment\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71dee2cf-97b1-4c68-b8d4-cd906743fc65",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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